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chchen/
Llama-3.1-8B-Instruct-SFT-400

Name: Llama-3.1-8B-Instruct-SFT-400
Availability: InStock

generated_from_trainer

meta-llama/Llama-3.1-8B-Instruct

adapter

llama3.1

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Llama-3.1-8B-Instruct-SFT-400

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_sft_400 dataset. It achieves the following results on the evaluation set:

Loss: 0.0645

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8183	2.2222	50	0.6115
0.1498	4.4444	100	0.0840
0.0829	6.6667	150	0.0651
0.0952	8.8889	200	0.0645

Framework versions

PEFT 0.12.0
Transformers 4.45.2
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.20.0

chchen/Llama-3.1-8B-Instruct-SFT-400

Llama-3.1-8B-Instruct-SFT-400

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chchen/
Llama-3.1-8B-Instruct-SFT-400